Analisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature Review
Hadith is the second source of reference for Islamic law after the Qur'an, which explains the sentences in the Qur'an which are still global by referring to the provisions of the Prophet Muhammad SAW. Classification of text documents can also be used to overcome the problem of interrelatio...
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| Format: | Article |
| Language: | English |
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Ikatan Ahli Informatika Indonesia
2021-10-01
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| Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| Subjects: | |
| Online Access: | http://jurnal.iaii.or.id/index.php/RESTI/article/view/3499 |
| _version_ | 1797329197936410624 |
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| author | Amelia Devi Putri Ariyanto Chastine fatichah Agus Zainal Arifin |
| author_facet | Amelia Devi Putri Ariyanto Chastine fatichah Agus Zainal Arifin |
| author_sort | Amelia Devi Putri Ariyanto |
| collection | DOAJ |
| description | Hadith is the second source of reference for Islamic law after the Qur'an, which explains the sentences in the Qur'an which are still global by referring to the provisions of the Prophet Muhammad SAW. Classification of text documents can also be used to overcome the problem of interrelation between the Qur'an and hadith. The problem of interrelation between books of hadith needs to be done because some hadiths in certain hadith books have the same meaning as other hadith books. This study aims to analyze the development of text representation and classification methods suitable to overcome similarity meaning problems in detecting interrelationships between hadith books. The research method used is Systematic Literature Review (SLR) sourced from Google Scholar, Science Direct, and IEEE. There are 42 pieces of literature that have been studied successfully. The results showed that contextual embedding as the newest text representation method considered word context and sentence meaning better than static embedding. As a classification method, the ensemble method has better performance in classifying text documents than using only a single classifier model. Thus, future research can consider using a combination of contextual embedding and ensemble methods to detect interrelationships between books of hadith. |
| first_indexed | 2024-03-08T07:01:21Z |
| format | Article |
| id | doaj.art-fef4220a9aaa482abc8ee87398debded |
| institution | Directory Open Access Journal |
| issn | 2580-0760 |
| language | English |
| last_indexed | 2024-03-08T07:01:21Z |
| publishDate | 2021-10-01 |
| publisher | Ikatan Ahli Informatika Indonesia |
| record_format | Article |
| series | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| spelling | doaj.art-fef4220a9aaa482abc8ee87398debded2024-02-03T05:46:57ZengIkatan Ahli Informatika IndonesiaJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)2580-07602021-10-0155992100010.29207/resti.v5i5.34993499Analisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature ReviewAmelia Devi Putri Ariyanto0Chastine fatichahAgus Zainal ArifinInstitut Teknologi Sepuluh NopemberHadith is the second source of reference for Islamic law after the Qur'an, which explains the sentences in the Qur'an which are still global by referring to the provisions of the Prophet Muhammad SAW. Classification of text documents can also be used to overcome the problem of interrelation between the Qur'an and hadith. The problem of interrelation between books of hadith needs to be done because some hadiths in certain hadith books have the same meaning as other hadith books. This study aims to analyze the development of text representation and classification methods suitable to overcome similarity meaning problems in detecting interrelationships between hadith books. The research method used is Systematic Literature Review (SLR) sourced from Google Scholar, Science Direct, and IEEE. There are 42 pieces of literature that have been studied successfully. The results showed that contextual embedding as the newest text representation method considered word context and sentence meaning better than static embedding. As a classification method, the ensemble method has better performance in classifying text documents than using only a single classifier model. Thus, future research can consider using a combination of contextual embedding and ensemble methods to detect interrelationships between books of hadith.http://jurnal.iaii.or.id/index.php/RESTI/article/view/3499hadith, interrelation, text document classification, text representation |
| spellingShingle | Amelia Devi Putri Ariyanto Chastine fatichah Agus Zainal Arifin Analisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature Review Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) hadith, interrelation, text document classification, text representation |
| title | Analisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature Review |
| title_full | Analisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature Review |
| title_fullStr | Analisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature Review |
| title_full_unstemmed | Analisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature Review |
| title_short | Analisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature Review |
| title_sort | analisis metode representasi teks untuk deteksi interelasi kitab hadis systematic literature review |
| topic | hadith, interrelation, text document classification, text representation |
| url | http://jurnal.iaii.or.id/index.php/RESTI/article/view/3499 |
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